2 papers
cs.CL2026
From Storage to Access: Verifiable Activation of Parametric Knowledge in LLMs via Explicit Priming and Implicit Reasoning
Zuocheng Ying, Yang Yang, Yumou Wu +6
Although Large Language Models (LLMs) encode rich factual knowledge in their parameters, reliably recalling and verifying such knowledge remains a key bottleneck in factual questio…
cs.IR2026
Static Pruning Across Sparse Retrieval Regimes: What Transfers, What Breaks, and What Still Helps
Zirui Song, Yuye Zhu, Yang Yang
Static pruning is widely used to accelerate sparse neural retrieval, yet existing studies each validate their conclusions within a single custom pipeline, leaving it unclear which…